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News/Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling
arxiv
PublishedSeptember 14, 2026 at 4:00 AM
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Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling

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arXiv:2609.08981v2 Announce Type: replace Abstract: A growing body of work establishes that large language models are not mere statistical memorizers, but are capable of in-context learning: performing inference at test time using only examples provided in the prompt, without any parameter updates.

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